From Ports to Projects: Estimating the Impact of Supply Chain Volatility and Trade Policy Changes on Construction Material Prices

Construction material markets are often reliant on imported commodities. Import tariffs and temporary trade barriers disrupt supply chains, presenting stakeholders with uncertainties regarding how such disruption impacts construction material prices. Despite the plethora of research efforts that examine the effects of economic conditions on construction material prices, the impacts of the import quantities remain understudied. This paper fills this knowledge gap usig a multistep methodology. First, the prices of major construction materials and the quantities of the relevant imported commodities are retrieved. Second, the stability of their historical trends was assessed using econometrics-based tests. Third, a nonlinear autoregressive distributed lag (NARDL) framework is employed to investigate the potentially asymmetric impacts of increases and decreases in import quantities on the construction material prices. The framework is demonstrated using the prices of 15 construction materials in the United States and import quantities from Canada, Mexico, China, and world total. For the 15 materials, prices respond asymmetrically to import shocks; increases and decreases in import quantities have unequal effects for at least one source country. Mexican hot-rolled steel surges are followed by a 2.5% rise in US prices in the long term, while a 10% increase in Canadian fabricated metal imports is accompanied by a short-term price decline of 0.66% at a five-month lag. The results indicate that local production capacity of cement and concrete and crude oil prices drive cement-dependent material prices more than import flows. Due to construction supply chain effects, the prices of prefabricated structural wood members increase by 18.1% in the long run when global lumber imports decline. By modeling how import shocks propagate through upstream and downstream prices, the NARDL framework facilitates prescient procurement strategies of construction materials amid persistent supply chain volatility and evolving trade policies. Owners, contractors, and other associated stakeholders can simulate a shift in steel, cement, or lumber inflows months ahead, identify vulnerable supply lines, and adjust budgets, bids, and contracts proactively.

Authors

Institutions

Publication Details

Journal
Journal of Construction Engineering and Management
Published
2026-04-01
DOI
https://doi.org/10.1061/jcemd4.coeng-17733
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Ports to Projects: Estimating the Impact of Supply Chain Volatility and Trade Policy Changes on Construction Material Prices

Islam H. El-adaway, Ahmed Shiha
Journal of Construction Engineering and Management
Construction Project Management and Performance
article

From Ports to Projects: Estimating the Impact of Supply Chain Volatility and Trade Policy Changes on Construction Material Prices

Islam H. El-adaway, Ahmed Shiha
article en

Abstract

Construction material markets are often reliant on imported commodities. Import tariffs and temporary trade barriers disrupt supply chains, presenting stakeholders with uncertainties regarding how such disruption impacts construction material prices. Despite the plethora of research efforts that examine the effects of economic conditions on construction material prices, the impacts of the import quantities remain understudied. This paper fills this knowledge gap usig a multistep methodology. First, the prices of major construction materials and the quantities of the relevant imported commodities are retrieved. Second, the stability of their historical trends was assessed using econometrics-based tests. Third, a nonlinear autoregressive distributed lag (NARDL) framework is employed to investigate the potentially asymmetric impacts of increases and decreases in import quantities on the construction material prices. The framework is demonstrated using the prices of 15 construction materials in the United States and import quantities from Canada, Mexico, China, and world total. For the 15 materials, prices respond asymmetrically to import shocks; increases and decreases in import quantities have unequal effects for at least one source country. Mexican hot-rolled steel surges are followed by a 2.5% rise in US prices in the long term, while a 10% increase in Canadian fabricated metal imports is accompanied by a short-term price decline of 0.66% at a five-month lag. The results indicate that local production capacity of cement and concrete and crude oil prices drive cement-dependent material prices more than import flows. Due to construction supply chain effects, the prices of prefabricated structural wood members increase by 18.1% in the long run when global lumber imports decline. By modeling how import shocks propagate through upstream and downstream prices, the NARDL framework facilitates prescient procurement strategies of construction materials amid persistent supply chain volatility and evolving trade policies. Owners, contractors, and other associated stakeholders can simulate a shift in steel, cement, or lumber inflows months ahead, identify vulnerable supply lines, and adjust budgets, bids, and contracts proactively.

Journal of Construction Engineering and ManagementVol. 152(6)
Missouri University of Science and Technology (US)
Openalex Percentile: Top 26%
Construction Project Management and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.